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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Toward low latency gesture control using smart camera network
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Zoran Zivkovic, NXP Semiconductors Research, Eindhoven, the Netherlands
Vitaly Kliger, NXP Semiconductors Research, Eindhoven, the Netherlands
Richard Kleihorst, NXP Semiconductors Research, Eindhoven, the Netherlands
Alexander Danilin, NXP Semiconductors Research, Eindhoven, the Netherlands
Ben Schueler, NXP Semiconductors Research, Eindhoven, the Netherlands
Giuseppe Arturi, NXP Semiconductors Research, Eindhoven, the Netherlands
Chung-Ching Chang, Stanford University, CA, USA
Hamid Aghajan, Stanford University, CA, USA
Real-world gesture controlled applications are not yet widely present mainly due to strong practical constraints. As a step toward realizing a practical, affordable, low-power, real time, low-latency gesture control, we present a smart camera system and an algorithm for upper body pose reconstruction implemented on the system. A single-instruction multiple-data (SIMD) processor on a smart camera platform is used to detect person head and hands. The detected hand and head candidate positions are then transmitted to a central processor (a PC) where the data is combined and final decisions are made. Implementation of a computer vision algorithm on the SIMD camera processor is presented. We also describe the whole wireless smart camera system and analyze the performance and practical issues.
Citation:
Zoran Zivkovic, Vitaly Kliger, Richard Kleihorst, Alexander Danilin, Ben Schueler, Giuseppe Arturi, Chung-Ching Chang, Hamid Aghajan, "Toward low latency gesture control using smart camera network," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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